WildfireRiskFinder

Orleans, IN

How exposed is Orleans to wildfire?

Low
9thpercentile nationally

Orleans's 1,304 buildings earn a 9th-percentile wildfire-risk score nationally under USFS's model — among the lower wildfire-risk places nationally. (Source: USFS's Wildfire Risk to Communities methodology.)

Fire likelihood alone (USFS's burn-probability figure) ranks Orleans at the 10th national percentile — 0 points above its risk-to-structures score, a gap driven by how much is actually built there.

What "at risk" means for the buildings here

1,304Total buildings
30%Direct exposure
0%Indirect exposure
70%Minimal exposure

Most of Orleans's buildings (70% of 1,304) fall outside USFS's Direct and Indirect zones entirely — that doesn't zero out the score above, it means the risk is regional, not structure-by-structure.

How Orleans compares

Orleans's 54th-percentile standing inside Indiana outpaces its 9th national percentile — this is a hotter spot than most of its own state, even though the state as a whole runs cooler nationally. Among the 31,521 US communities USFS scores, Orleans ranks 28,549 for wildfire risk (1 is highest) and 10,061 by building count (1 is largest). Within Indiana alone, it ranks 444 of 967 places by risk. See the full county-by-county picture for Indiana on its state page.

What this risk score means for insurance

At the 9th national percentile, Orleans rates low for wildfire risk — well short of the threshold where insurers have been withdrawing coverage, though comparing a quote costs nothing either way.

What would actually reduce this score

Orleans's 70% Minimal-exposure share means structure-level hardening matters less here than it would elsewhere — still worth the low-cost basics, per the home-hardening guide.

Where Orleans's figures come from

Every one of the two percentiles behind Orleans's 28,549-place national rank traces to USFS's Wildfire Risk to Communities dataset — see the methodology guide. The exposure-zones guide covers what Orleans's dominant minimal exposure actually means, with real examples from across the dataset.